CIO Business Intelligence

NOVEMBER 14, 2024

Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. Explainability is also still a serious issue in AI, and companies are overwhelmed by the volume and variety of data they must manage.

Machine Learning

KDnuggets

JULY 16, 2025

By Jayita Gulati on July 16, 2025 in Machine Learning Image by Editor In data science and machine learning, raw data is rarely suitable for direct consumption by algorithms. This process removes errors and prepares the data so that a machine learning model can use it.

Modeling

Cloudera

DECEMBER 9, 2024

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . The post Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI appeared first on Cloudera Blog.

Machine Learning

KDnuggets

JULY 16, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Statistics

KDnuggets

JULY 11, 2025

Traditional machine learning systems excel at classification, prediction, and optimization—they analyze existing data to make decisions about new inputs. Instead of optimizing for accuracy metrics, you evaluate creativity, coherence, and usefulness. This difference shapes everything about how you work with these systems.

Machine Learning

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture

AWS Big Data

JULY 23, 2025

Organizations running Apache Spark workloads, whether on Amazon EMR , AWS Glue , Amazon Elastic Kubernetes Service (Amazon EKS), or self-managed clusters, invest countless engineering hours in performance troubleshooting and optimization.

Optimization

DataFloq

JULY 25, 2025

TensorFlow Extended TensorFlow Extended is Google’s production-ready machine learning framework. Based on TensorFlow, TFX is purpose-built to enable a machine learning mode l to go from a trained machine learning model to a production-ready model. It is best for automated machine learning.

Machine Learning

KDnuggets

JULY 22, 2025

Every data scientist has been there: downsampling a dataset because it won’t fit into memory or hacking together a way to let a business user interact with a machine learning model. Machine Learning in your Spreadsheets BQML training and prediction from a Google Sheet Many data conversations start and end in a spreadsheet.

Data Science

KDnuggets

JULY 28, 2025

If you think that knowing Python and machine learning will get the job done for you in 2025, then I’m sorry to break it to you but it won’t. Most traditional machine learning models struggle with relational data, but graph techniques make it easier to catch patterns and outliers. Why does this matter?

Machine Learning

KDnuggets

JULY 15, 2025

To put it simply, it is a system that collects data from various sources, transforms, enriches, and optimizes it, and then delivers it to one or more target destinations. BigQuery, Snowflake, S3 + Athena) Design schemas that optimize for reporting use cases Plan for data lifecycle management, including archiving and purging 5.

Data Science

KDnuggets

JUNE 27, 2025

Born in India and raised in Japan, Vinod brings a global perspective to data science and machine learning education. Vinod focuses on creating accessible learning pathways for complex topics like agentic AI, performance optimization, and AI engineering.

Interactive

KDnuggets

JUNE 10, 2025

Think of DuckDB as a lightweight, analytics-optimized version of SQLite, bringing the simplicity of local databases together with the power of modern data warehousing. This design optimizes CPU cache usage and significantly accelerates analytical query performance. And this leads us to the following natural question.

OLAP

KDnuggets

JULY 17, 2025

Cornellius writes on a variety of AI and machine learning topics. Cornellius Yudha Wijaya is a data science assistant manager and data writer. While working full-time at Allianz Indonesia, he loves to share Python and data tips via social media and writing media.

Machine Learning

KDnuggets

JUNE 24, 2025

Performance optimization : For large datasets, consider using vectorized operations or parallel processing. Configurable validation : Make the Pydantic schema configurable so the same pipeline can handle different data types. Advanced error handling : Implement retry logic for transient errors or automatic correction for common mistakes.

Machine Learning

CIO Business Intelligence

JULY 1, 2025

While most discussions around quantum computing focus on distant breakthroughs and theoretical applications, a quiet revolution is happening at the intersection of quantum systems and machine learning. This includes stress testing portfolios under extreme market conditions or modeling catastrophic insurance events.

Machine Learning

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Improve accuracy and resiliency of analytics and machine learning by fostering data standards and high-quality data products.

IoT

AWS Big Data

NOVEMBER 27, 2024

Therefore, cost optimization levers are important to achieve a favorable balance of cost vs. benefit. First, you bring vector search online by using machine learning (ML) models to encode your content (such as text, image or audio) into vectors. Dylan Tong is a Senior Product Manager at Amazon Web Services.

Cost-Benefit

KDnuggets

JULY 17, 2025

Implementing Fast Queues and Stacks with deque Python lists can be used as stacks and queues, even though they are not optimized for these operations. As managing editor of KDnuggets & Statology , and contributing editor at Machine Learning Mastery , Matthew aims to make complex data science concepts accessible.

Machine Learning

DataKitchen

JULY 22, 2025

The idempotent approach naturally encourages a “build a little, test a little, learn a lot” development rhythm. Consider implementing a complex customer segmentation model that involves multiple data sources, feature engineering, and machine learning predictions.

Data Architecture

CIO Business Intelligence

OCTOBER 24, 2024

Businesses will need to invest in hardware and infrastructure that are optimized for AI and this may incur significant costs. Contextualizing patterns and identifying potential threats can minimize alert fatigue and optimize the use of resources.

Risk

CIO Business Intelligence

NOVEMBER 5, 2024

Leveraging machine learning and AI, the system can accurately predict, in many cases, customer issues and effectively routes cases to the right support agent, eliminating costly, time-consuming manual routing and reducing resolution time to one day, on average. I’ll give you one last example of how we use AI to fight fraud.

B2B

KDnuggets

JUNE 11, 2025

Valuable for local business research, yet not optimal for large-scale generalizable models. Avi has been working in the field of data science and machine learning for over 6 years, both across academia and industry. Its static snapshot and lack of detailed metadata limit modern applicability. Yelp Open Dataset Contains 8.6M

Advertising

KDnuggets

JUNE 26, 2025

Born in India and raised in Japan, Vinod brings a global perspective to data science and machine learning education. Vinod focuses on creating accessible learning pathways for complex topics like agentic AI, performance optimization, and AI engineering.

Data Quality

CIO Business Intelligence

DECEMBER 10, 2024

To integrate AI into enterprise workflows, we must first do the foundation work to get our clients data estate optimized, structured, and migrated to the cloud. Once the data foundation is in place, it is important to then select and embed the best combination of AI models into the workflow to optimize for cost, latency, and accuracy.

Modeling

AWS Big Data

OCTOBER 14, 2024

One of the key features of Amazon EMR on EC2 is managed scaling, which dynamically adjusts computing capacity in response to application demands, providing optimal performance and cost-efficiency. Sajjan Bhattarai is a Senior Cloud Support Engineer at AWS, and specializes in BigData and Machine Learning workloads.

Cost-Benefit

CIO Business Intelligence

DECEMBER 3, 2024

Leveraging AI, machine learning, and natural language processing technologies, we categorize and classify data by type, redundancy, and sensitive information, constantly highlighting potential compliance exposures. Data optimization. NetApp’s comprehensive set of features goes beyond basic data cataloging.

Data Governance

KDnuggets

JUNE 19, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding?

Experimentation

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Having chosen Amazon S3 as our storage layer, a key decision is whether to access Parquet files directly or use an open table format like Iceberg.

Metadata

KDnuggets

JUNE 9, 2025

Optimal Setup: For the best performance (5+ tokens/second), you need at least 180GB of unified memory or a combination of 180GB RAM + VRAM. Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models.

Modeling

KDnuggets

JULY 24, 2025

This isnt a small optimization, it will make your data processing tasks (I’m talking about BIG datasets) much more feasible. Kanwal Mehreen Kanwal is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine. faster Thats more than 50 times faster!!!

Machine Learning

KDnuggets

JULY 22, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Data Science

AWS Big Data

OCTOBER 30, 2024

We show how to build data pipelines using AWS Glue jobs, optimize them for both cost and performance, and implement schema evolution to automate manual tasks. If you want to optimize costs, you should have a moderate CdcMaxBatchInterval (minutes) and a large CdcMinFileSize value (100–500 MB).

Data Lake

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements. Optimize workflows by redesigning processes based on data-driven insights. It also offered a chatbot that utilized Amazon Lex.

Finance

CIO Business Intelligence

OCTOBER 30, 2024

As businesses increasingly rely on digital platforms to interact with customers, the need for advanced tools to understand and optimize these experiences has never been greater. While Felix AI already enables businesses to process data at scale and act on insights faster, the potential for further automation and optimization is vast.

Analytics

CIO Business Intelligence

DECEMBER 17, 2024

Cloud and the importance of cost management Early in our cloud journey, we learned that costs skyrocket without proper FinOps capabilities and overall governance. But after putting some discipline around it and pinpointing where we can optimize our operations, we have found a better balance. That said, were not 100% in the cloud.

Digital Transformation